Authors:
Subhashree Parida, Milu Acharya
Addresses:
Department of Mathematics, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India.
Abstract:
The role that green emissions play in the current ecosystem is extremely important because of the significant disruption that they cause to the environmental situation. Because of this, the majority of industrialised nations are making investments in programs that aim to facilitate environmentally friendly industrial processes. By taking into consideration the optimal investment in environmentally friendly technology to reduce the impact of carbon dioxide (CO2), which is primarily a contribution from the transportation of goods between warehouses and customers, this research develops two-warehouse (one is an own warehouse, and the other is a rented warehouse) crisp and fuzzy stockout models to manage stockout conditions with a single-level trade credit. To obtain the best total cost numerically, partial backlogging is taken into consideration in the model. This is because of the impacts of deterioration. In addition to this, an algorithmic approach to the process of finding a solution is offered. Once everything is said and done, a sensitivity analysis is carried out to assess the impact of modifications made to input parameters, providing valuable management insights.
Keywords: Two-Warehouse; Economic Order Quantity; Carbon Emission; One-Level Trade-Credit; Renting Warehouses; Owned Warehouses; Green Technology Investment; Intuitionistic Fuzzy; α,β -Cut Method.
Received: 06/05/2024, Revised: 18/06/2024, Accepted: 22/08/2024, Published: 07/03/2025
DOI: 10.64091/ATIAS.2025.000114
AVE Trends in Intelligent Applied Sciences, 2025 Vol. 1 No. 1 , Pages: 37-47